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Book details ●

Author : Julia Silge

Pages : 194 pages

Publisher : O'Reilly Media

Language :

ISBN-10 : 1491981652

ISBN-13 : 9781491981658

Book Synopsis Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.Learn how to apply the tidy text format to NLPUse sentiment analysis to mine the emotional content of textIdentify a document's most important terms with frequency

eBOOK [ PDF ] Text Mining with R: A Tidy Approach EPUB PDF #kindle By Julia  

READ PDF Online Text Mining with R: A Tidy Approach By Julia Silge Full version #readonline http://mediabooks.pro/?book=?book=1491981652 #Eb...

eBOOK [ PDF ] Text Mining with R: A Tidy Approach EPUB PDF #kindle By Julia  

READ PDF Online Text Mining with R: A Tidy Approach By Julia Silge Full version #readonline http://mediabooks.pro/?book=?book=1491981652 #Eb...

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